Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
Not on the map. Why?
Abstract (arXiv)
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for the next-generation wireless communication networks. Their mobility and their ability to establish line of sight (LOS) links with the users made them key solutions for many potential applications. In the same vein, artificial intelligence (AI) is growing rapidly nowadays and has been very successful, particularly due to the massive amount of the available data. As a result, a significant part of the research community has started to integrate intelligence at the core of UAVs networks by applying AI algorithms in solving several problems in relation to drones. In this article, we provide a comprehensive overview of some potential applications of AI in UAV-based networks. We also highlight the limits of the existing works and outline some potential future applications of AI for UAV networks.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Sep 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 4; 2023: 4; 2024: 1; 2025: 0; 2026: 1.
11 papers.
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Surveycited by 27
- 2021Artificial Intelligence for Satellite Communication: A Reviewcited by 14
- 2024Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunitiescited by 14
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Controlcited by 5
- 2023Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semanticscited by 5
- 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systemscited by 5
- 2023Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learningcited by 2
- 2023Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyondcited by 2
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaulcited by 0
- 2022Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networkscited by 0
- 2026Simulation-Based Study of AI-Assisted Channel Adaptation in UAV-Enabled Cellular Networkscited by 0
- 2026Simulation-Based Study of AI-Assisted Channel Adaptation in UAV-Enabled Cellular Networks1 Jan 2026
- 2024Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities28 Feb 2024
- 2023Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyond8 Nov 2023
- 2023Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning15 Jun 2023
- 2023Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems9 Feb 2023
- 2023Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics3 Jan 2023
- 2022Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey7 Nov 2022
- 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control3 Oct 2022
- 2022Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks25 Feb 2022
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul4 Feb 2022
- 2021Artificial Intelligence for Satellite Communication: A Review25 Jan 2021